NewBeeNLP

Oct 16, 2024 · Artificial Intelligence

Unlocking Long-Sequence LLMs: Position Embeddings, Scaling, and Efficient Attention

This article reviews recent advances in training and inference for long‑sequence large language models, comparing ALIBI and RoPE position embeddings, exploring RoPE scaling techniques, analyzing attention optimizations, and outlining practical data, evaluation, and system frameworks for scalable LLM deployment.